Materials Data Science
De (autor): Stefan Sandfeld
This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. The section on unsupervised learning emphasizes principal component analysis, and also covers manifold learning (t-SNE and UMAP) and clustering techniques.
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Descrierea produsului
This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. The section on unsupervised learning emphasizes principal component analysis, and also covers manifold learning (t-SNE and UMAP) and clustering techniques.
Detaliile produsului
- Categoria: Miscellaneous
- Autor: Stefan Sandfeld
- Editura: SPRINGER INTERNATIONAL PUBLISHING AG
- An aparitie: 2024
- Editie: Hardback
- Format: 161 x 243 x 37
- Nr. pagini: 618
- Serie: The Materials Research Society Series
- Cod: BRT9783031465642
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